An innovative metaheuristic algorithm for photovoltaic tilt angle optimization.

ABSTRACT: Optimizing photovoltaic tilt angles to maximize solar radiation capture remains a critical and challenging task. This paper proposes HMWOAIGWO, a novel hybrid metaheuristic algorithm that integrates the improved grey wolf optimizer (IGWO) with the whale optimization algorithm (WOA). The proposed algorithm aims to optimize tilt angles on daily, monthly, and annual scales while addressing the limitations of individual methods, including limited population diversity, susceptibility to local optima, and slow convergence rates. The performance of HMWOAIGWO was rigorously evaluated against ten state-of-the-art algorithms using 23 benchmark suites and the CEC 2019 test functions. Results indicate that HMWOAIGWO achieved the highest accuracy on 19 out of 33 functions and ranked within the top two

SUBMITTER: He L 

PROVIDER: S-EPMC12738731 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature